Data Science & Analytics in UK

This Master's course aims to accelerate your career in engineering or data science, enabling you to choose a path that’s right for you. This could be as a data scientist, a machine learning engineer, or a computational statistician.

This is an online and part-time course. This gives you the chance to participate even if you can't study in London or full-time.

With hands-on projects, you’ll build a portfolio to showcase your new skills. Everything from probabilistic modelling and deep learning to unstructured data processing and anomaly detection.

Through foundations in mathematics and statistics, you will be able to boost your confidence in analytical skills.

You will have the chance to gain expertise in implementing scalable solutions using industry-standard tools, including PySpark. This gives you the tools to tackle big and complex data.

Curriculum covering the ethics and limitations of machine learning will enable you to ethically apply these techniques to your work.

When you graduate, will have the ability to:

• Turn data into actionable insights
• Contribute to strategic decision making
• Become a responsible member of this growing profession

The combined multidisciplinary MSc + DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. 

The Applied Statistical Modelling and Health Informatics course has been created to deliver a skill set and knowledge base in "multimodal" and "big data" analysis techniques, which are a recognised scarcity within UK Life sciences. You will receive world-class training in core applied statistical methodology, machine learning and computational methodology, and you will have the opportunity to apply your skills to real-life settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience. The course will apply to a broad spectrum of graduates preparing for a career in medical statistics and health informatics, or professional methodologists and clinical researchers working in the private or public health sector who are interested in state-of-the-art technologies training from world-class experts. This course is also suitable if you are a graduate in/work in the fields of computer science, maths, physics, engineering and natural science, including psychology and medicine. The course will prepare participants for the ever-growing need for a sound scientific approach to processing information and generating knowledge in modern health services. Practical skills will be taught through applications to real-life settings in a world-leading research institution in mental health

Our Data Science (BSc) degree provides an essential mix of highly developed mathematical, statistical and computing skills for those interested in working at the forefront of the modern data revolution.

Our graduates are appropriately equipped to lead careers which leverage advanced technology to extract value from data or which develop such technologies.

The Master of Data Science (Health) shares a common core with the other Master of Data Science programmes and will provide graduates with quantitative skills required for the practical analysis of health data. Health is a large and growing sector in the economy, and effective use of data is essential for improving clinical care for individual patients as well as overall public health. While generic data science skills are useful for Health Data Scientists, health data often have special characteristics (for instance, patient data or clinical metrics) which also require specialised techniques for collection, analysis, and management. This programme includes modules about using data for clinical and public health decisions, relevant modelling techniques such as survival and epidemiological methods, and also addresses questions such as governance and privacy.

Shared core modules with the suite of Data Science Master courses will ensure that you get equipped with the wider statistical and machine learning skills required for your career. You will be carrying out team building activities, presenting case studies and carrying out both formative and summative assessments with students from all four faculties of Durham University, ensuring that you learn how to represent not just your own discipline but to also listen and integrate views and skills from other disciplines. An additional contribution to the academic environment will be provided by the Durham Research Methods Centre which will also help with the allocation of project topics through partnerships with neighbouring NHS Trusts and other collaborators in the health sector.

All around us, massive amounts of increasingly complex data are being generated and collected, for instance, from mobile devices, cameras, cars, houses, offices, cities, and satellites. Business, research, government, communities, and families can use that data to make informed and rational decisions that lead to better outcomes. It is impossible for any one individual or group of individuals to keep on top of all the relevant data: there is simply far too much. Data science enables us to analyse large amounts of data effectively and efficiently and as a result has become one of the fastest growing career areas.

Previously, data science was the province of experts in maths and computer science, but the advent of new techniques and increases in computing power mean that it is now viable for non-experts to learn how to access, clean, analyse, and visualize complex data. There is thus a growing opportunity for those already in possession of knowledge about a particular subject or discipline, and who are therefore able to grasp the full meaning and significance of data in their area, to be able to undertake data analysis intelligently themselves. The combination of primary domain knowledge with an expertise in extracting relevant information from data will give those with this ‘double-threat’ a significant employment advantage.

The Master of Data Science suite of programmes is a conversion course with a hard-core of data science, intended to provide Masters-level education rich in the substance of data science for students who hold a first degree that is not highly quantitative, including those in social sciences, the arts and humanities. Introductory modules are designed to bring students with non-technical degrees up to speed with the background necessary for data science. This is done on a need-to-know basis, focusing on understanding in practice rather than abstract theory. Core modules then introduce students to the full range of data science methods, building from elementary techniques to advanced modern methods such as neural networks and deep learning. Optional modules allow students to focus on an area of interest.

The programme provides training in relevant areas of contemporary data science in a supportive research-led interdisciplinary learning environment. The broad aims are:

• To develop advanced and systematic understanding of the complexity of data, including the sources of data relevant to science, alongside appropriate analysis techniques
• To enable students to critically review and apply relevant data science knowledge to practical situations
• To develop a critical awareness of current issues in data science which is informed by leading edge research and practice in the field
• To develop a conceptual understanding of existing research and scholarship to enable the identification of new or revised approaches to data science practice
• To develop creativity in the application of knowledge, together with a practical understanding of how established, advanced techniques of research and enquiry are used to develop and interpret knowledge in data science.
• To develop the ability to conduct research into data science issues that requires familiarity with a range of data, research sources and appropriate methodologies and ethical issues
• To develop advanced conceptual abilities and analytical skills in order to evaluate the rigour and validity of published research and assess its relevance to new situations
• To extend the ability to communicate effectively both orally and in writing, using a range of media.

The programme is designed around a pedagogical framework which reflects the core categories of the data science discipline.

A number of subjects can be identified and defined within each application domain. Whilst a Masters programme cannot incorporate all subjects, a selection of subjects representative of each domain ensures that the programme incorporates the necessary breadth and depth of material to ensure a skilled graduate.

The programme allows for progressive deepening in the students’ knowledge and understanding, culminating in the research project which is an in-depth investigation of a specific topic or issue.

The global dimension is reinforced through the use of international examples and case studies where appropriate.

In the modern world information is everywhere – from the daily stream of financial data emerging from the world’s markets to worldwide internet traffic, personal health records, or simply your local newsagent’s sales figures for the last week.

Understanding this vast array of data is one of the key challenges we currently face and requires expertise in subjects such as mathematics, statistics and computing.

Data Analytics is the science of examining raw data using advanced computing technologies. It's growing to be a fundamental part of modern business and industry.

In fact, in their recent report, The Tech Partnership and SAS UK stated that “Data is the 'new oil'" and that developing talent in data analytics will allow us to refine that oil to power the UK information economy. They also reported that the demand for graduates will skills in data analytics will surge in the coming years.

Our BSc Hons in Data Analytics degree will provide you with these cutting-edge skills, enabling you to tackle problems in dynamic business environments. It will make you well placed for an exciting and rewarding career in an industry that is set to expand.

Understand one of the fastest-growing areas in modern business and society today and study data science and analysis on our BSc Business Analytics degree at Aston University. 

Our data-rich society demands effective solutions, from strategic business decisions to ensure a company’s survival, through to approaches to government policy using data sets on public health.

Business Analytics at Aston offers a unique mix of general business studies in the first year, followed by more specialised business analytics tools and techniques as you progress your degree, and real-world examples of how these apply to a breadth of settings.

Data is everywhere and continuing to grow massively, which has created a huge demand for qualified experts who can uncover valuable insights from data. Data science is an emerging and trending field that is rapidly developing. It combines data analytics, statistics, computer science and software engineering and is highly sought-after by employers in business, education, finance, industry, the public sector and many other fields. 

Birkbeck's BSc Data Science and Computing will give you the strong technical grounding you need to work in a job as a data scientist or industry analyst. You will gain a broad knowledge of computing and mathematics and acquire strong programming and data analysis skills using Python, R and Java - the most popular programming languages used by data scientists. During this course you will also investigate current research areas in data science more deeply and engage practically with the industry.

The MSc Data Science and Artificial Intelligence is a conversion master’s designed for motivated students who have a good first degree in a subject other than Computer Science, who wish to develop the knowledge and skills to gain employment in the Data Science and Artificial Intelligence industry. 

This professionally accredited degree focuses on the science, technology and maths behind map-making and coordinate systems. You’ll use state-of-the-art technology and mathematical-based analysis to study the built and natural environments.

Your studies will include outdoor and computer-based practical work. You'll learn a wide range of techniques, such as:

• engineering surveying
• 3D laser scanning
• mobile map-making
• programming

You'll also gain an in-depth understanding of:

• geodesy
• photogrammetry
• cartography
• GIS
• hydrographic survey
• computing

You’ll benefit from our strong links in industry, enabling your practical, professional and academic skills to develop through a combination of field trips, project work and industry visits.

Data Science is a rapidly developing field of study within both academia and industry. Its interdisciplinary nature ensures its wide application domain. This MSc Data Science aims to prepare students for a successful career as a data scientist or business analyst working in any profession where large amounts of data is collected, hence there is a need for skills in data acquisition, information extraction, aggregation and representation, data analysis, knowledge extraction and explanation. These type of skills are typically in high demand in IT business, security and health sectors, intelligent transport, energy efficiency and the creative industries.

More generally data and analytics capabilities has developed rapidly in recent years. The volume of available data has grown exponentially, more sophisticated algorithms have been developed, and computational power and storage have steadily improved. Most companies, however, are not capturing the full potential value from data and analytics because they do not have the required expertise. Consequently, the MSc Data Science aims to address these challenges by providing a firm grounding in the core disciplines of data analytics and information processing, partnered with a broad appreciation of aspects of other disciplines where data science can form natural synergistic relationships.

Ninety percent of the data in the world today has been created in the last two years alone, rendering traditional data processing applications inadequate and increasing the demand for sophisticated data analysts who can collate, interpret, and draw value from complex data sets.

Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science and government.

This course builds on the established strengths of the Mathematics and Computer Science programmes and develops a multidisciplinary approach to the computational analysis of data. Contemporary society faces new challenges in the analysis of data, predictive analytics in support of decision making processes that are both mathematical and computational. There is an increasing demand for data-savvy professionals both in industry and in research who are able make sense of large amounts of data and apply it to the solution of relevant problems.

This course offers postgraduates with some background in computing, mathematics, or data-based investigation the opportunity to develop their skills in a way which will prepare them for careers in this fast-growing and exciting area which spans virtually all areas of commerce and industry as well as scientific research, and involves working with individuals and organisations to extract value from the ever-increasing volume of data that is available.

Gain an in-depth understanding of the theory and practice of data science and its application in different organisational contexts. You'll be provided with a set of fundamental principles that support ethical extraction of information and knowledge from data. Case studies will help to show the practical application of these principles to real life problems.

The programme is centred on three key aspects of data science fundamental data-related principles, supporting infrastructures and organisational context.

You'll gain practical skills in handling structured and unstructured data, analysing and visualising data, data mining, as well as gaining hands-on experience of software tools used and their use in real-world settings. You'll gain the skills of a data manager who understands what the algorithms (e.g., for data mining or handling ‘big data’) can do and when to use them for the benefit of the organisation.

From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. The programme provides a foundation in statistical modelling and data analytical skills; the theories underpinning statistical modelling; programming; data mining and data science as process for gaining insight from data. You can study either full-time or part-time.

Upon successful completion of the modules you may wish to progress to a PGDip or an MSc in Data Science.

Data science has become increasingly important in many areas over the past two decades. These include banking, finance, insurance, weather forecasting, image analysis, genomics, advertising, transport and elections. The discipline is even used in policing and crime prevention. Data sets can unravel all kinds of facts, trends, anomalies and patterns – but only with the right technical skills!

The objective of our MSc in Mathematical Data Science is to guide you through a range of sophisticated mathematical ideas underlying modern data science. You’ll understand the mechanisms for modelling data-producing dynamical phenomena. We’ll also equip you with both the theoretical and the computational skills to analyze and extract information from large data sets.

During the first two semesters, you'll select a range of taught modules. These will be followed by an extended research project conducted over the summer under the supervision of a member of the Department. In some cases, this will be in conjunction with a second external supervisor, culminating in the writing of an MSc dissertation.

If you are working in a healthcare role that involves analysing health data, this MSc Health Data Science degree, could accelerate you into one of the fastest growing areas in the UK.

This course is designed to develop the essential skills and knowledge you’ll need as a Health Data Scientist. Our degree offers strong emphasis on practical and analytical skills that you can apply in the workplace and could make you more employable. It is available as a one year full time or three years part time course.

Healthcare already has an established strong relationship with Information and Communication Technologies (ICT), and is continuously expanding the knowledge forefront as new methods of acquiring data concerning the health of human beings are developed. On this course you’ll learn how processing this data to extract valuable information about a population (epidemiological applications) has the potential to improve quality of life on a large scale.

Data is everywhere and affects every aspect of our lives and our society – from fitness trackers to online shopping to social media. Data is used to understand human behaviour, and to inform policy, journalism and strategy.

This course is for you if you:

• are a graduate in the social sciences, business or the humanities
• have an interest in data and data-driven methods
• plan a career in the field of data science.

Understanding how and why data is used, and the societal and ethical implications of doing so, are at the heart of this MSc. On the course, you’ll explore:

• modern information and communication technologies 
• the python programming language
• probability theory, statistics, linear algebra and calculus
• machine learning techniques 
• ethics and interpretability.

You can choose to focus your studies on digital media, or on innovation and policy. 

You’ll learn from experts at the forefront of their fields. Collaboration with our industry partners will give you career development opportunities.

The McKinsey Global Institute calls big data “the next frontier for innovation, competition and productivity” and estimated the gap in data analysis professionals of approximately 140,000 to 190,000 potential positions.

Businesses and industry have already realised that investment in big data is absolutely necessary to survive in the modern world. The epoch of big data is here. Every day you can find hundreds of data-analysis related vacancies in the UK.

The MSc in Data Analysis for Business Intelligence will prepare you to work with data in the business environment, using mathematical, statistical and computational skills – including data mining and practical database coding skills. This course seeks to train the generation of world-leaders in data analysis and, to this end, you will be taught by world-leaders in the field.

You will learn how to discover knowledge in data as well as honing the data analysis skills required to perform predictive and prescriptive modelling in real-world business situations. Your summer project will let you apply what you have learned to real business problems and meet your possible employers. Our partners for these projects include Eon, General Electric, Weatherford International, ARM and CapitalOne. These projects not only give you an opportunity to meet potential employers, but also to explore options for creating your own start-up company.

Statistical data science is at the core of modern data analytics that turn data into intelligence to inform decision-making and solve challenging problems. Applications range from economics and medicine, to social and environmental sciences. This degree covers theoretical and applied elements of modern statistics, and provides training and practical experience in modelling, analysing and interpreting real data required in the economy, industry and research. The early years of the degree cover basic mathematics, probability and statistics. The final years focus on advanced specialist topics in statistical modelling, data science, machine learning, probability and stochastic processes. 95% of our graduates reported in the National Student Survey that they were satisfied overall with their Statistical Data Science degree.